An AI-powered video editing skill that automates trimming, silence removal, and background music integration for raw recordings.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install recording-editor
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install recording-editor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Recording Editor is a robust cloud-based video processing tool designed specifically for content creators, educators, and remote workers. It allows users to transform raw footage into polished, professional 1080p MP4 clips using simple natural language commands. By leveraging remote GPU nodes for rendering, this tool ensures that heavy video processing tasks do not drain local resources, making it a standout choice among Openclaw Skills.
This skill supports a wide variety of file formats including MP4, MOV, AVI, and WebM, handling files up to 500MB. Whether you need to polish a screen recording or prepare a presentation for sharing, the Recording Editor synthesizes complex editing workflows into a streamlined, automated experience.
To begin using this tool within your Openclaw Skills environment, you must ensure the cloud processing backend is reachable. The skill will look for a NEMO_TOKEN environment variable; if missing, it will automatically attempt to provision an anonymous token.
# Set your environment variable to enable full credit access
export NEMO_TOKEN="your_nemo_video_api_token"
All requests are automatically signed with the necessary attribution headers (X-Skill-Source and X-Skill-Version) to ensure seamless integration with the cloud rendering pipeline.
The skill manages video projects using a structured timeline draft. The internal data schema organizes media segments as follows:
| Property | Description |
|---|---|
tracks (t) |
An array of media tracks containing segments. |
track_type (tt) |
Identifies content: 0 for Video, 1 for Audio, 7 for Text. |
segments (sg) |
Specific clips defined by duration and metadata. |
duration (d) |
The length of the segment measured in milliseconds. |
metadata (m) |
Technical details including resolution and original filename. |
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